Communicating with Data: making your case with data
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2022]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xvi, 321 Seiten Illustrationen, Diagramme |
| ISBN: | 9781098101855 |
Internformat
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Datensatz im Suchindex
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| adam_text | Table of Contents Preface............................................................................................... ix Part I. Communication and Data 1. Communication................................................................................ 3 What Is Communication? The Communication Process Getting Through to Your Audience: Context and Noise Don’t Forget About Memory Why Visualize Data? Pre-Attentive Attributes in Action Unique Considerations Summary 4 4 6 7 9 12 17 18 2. Data.............................................................................................. 19 What Is Data? Key Features of Data Rows and Columns Data Types How Is Data Created? Where Is Data Created? Should You Trust Your Data? Data as a Resource Files Databases, Data Servers, and Lakes Application Programming Interfaces Data Security and Ethics 20 20 22 24 28 29 34 35 36 39 41 43 iii
Easy or Hard? The “Right” Data Structure The Shape of Data Cleaning Data The “Right” Data Requirement Gathering Use of the Data Summary 44 44 51 53 56 61 65 Part II. The Elements of Data Visualization 3. Visualizing Data................................................................................ 69 Tables How to Read Tables How to Optimize Tables When You Might Not Use Tables Bar Charts How to Read Bar Charts How to Optimize Bar Charts When You Might Not Want to Use Bar Charts Line Charts How to Read Line Charts How to Optimize Line Charts When You Might Not Use Line Charts Summary 72 72 76 78 79 79 85 93 94 94 98 103 107 4. Visualizing Data Differently................................................................. 109 Chart Types: Scatterplots How to Read Scatterplots How to Optimize Scatterplots When to Avoid Scatterplots Chart Types: Maps How to Read Maps How to Optimize Maps When to Avoid Maps Chart Types: Part-to-Whole How to Read Part-to-Whole Charts When to Use Part-to-Whole Charts When to Avoid Part-to-Whole Charts Summary iv I Table of Contents 109 110 123 127 131 131 134 141 144 145 150 153 156
5. Visual Elements...................................................................... .............. 159 160 160 166 168 172 174 175 179 183 184 187 190 190 193 194 Color Types of Color Palettes Choosing the “Right” Color Avoiding Unnecessary Use of Color: Double Encoding Size and Shape Themed Charts Size and Shape Challenges Multiple Axes Reference Lines/Bands Reference Lines Reference Bands Totals/Summaries Totals in Tables Totals in Charts Summary 6. Visual Context........................................................................ ............ 195 196 196 199 201 201 202 203 205 208 208 210 212 213 213 214 216 217 218 220 220 223 225 Titles Main Title Subtitles, Standfasts, and Chart Titles Text and Annotations Annotations Text Boxes Text Formatting Contextual Numbers Legends Shape Legends Color Legends Size Legends Iconography and Visual Cues Thematic Iconography Audience Guidance Background and Positioning The Z Pattern Whitespace Interactivity Tooltips Interactions Summary Table of Contents | v
7. The Medium for the Message: Complex and Interactive Data Communication...... 227 Explanatory Communications Gathering Requirements Updating Data in Explanatory Views So What? Exploratory Communications Gathering Requirements Flexibility and Flow Methods: Dashboards Monitoring Conditions Facilitating Understanding Methods: Infographics Methods: Slide Presentations Methods: Notes and Emails Summary Part III. 227 228 229 229 230 231 231 234 234 235 238 240 242 243 Deploying Data Communication in the Workplace 8. Implementation Strategies for Your Workplace........................................... 247 Tables Versus Pretty Pictures Data Culture Data Literacy Improving the Visualization Mix Static Versus Interactive Let’s Talk About PowerPoint More Than Just PowerPoint Interactive User Experience Centralized Versus Decentralized Data Teams The Data Team Data Sources Reporting Pooling Data Expertise Self-Service Live Versus Extracted Data Live Data Extracted Data Sets Standardization Versus Innovation Importance of Standardization Importance of Innovation Reporting Versus Analytics Reporting: Mass Production vi I Table of Contents 252 253 256 257 261 262 263 265 268 268 269 270 272 273 274 274 276 278 278 280 281 281
283 285 286 Analytics: Flexibility but Uncertainty Finding the “Perfect” Balance Summary 9. Tailoring Your Work to Specific Departments............................................... 287 The Executive Team Finance Human Resources Operations Marketing Sales Information Technology Summary 288 292 294 296 299 301 304 306 10. Next Steps.......................................................................................... 309 Step 1: Get Inspired Step 2: Practice Step 3: Keep Reading 309 310 310 Index....................................................................................................... 313 Table of Contents | vii
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| adam_txt |
Table of Contents Preface. ix Part I. Communication and Data 1. Communication. 3 What Is Communication? The Communication Process Getting Through to Your Audience: Context and Noise Don’t Forget About Memory Why Visualize Data? Pre-Attentive Attributes in Action Unique Considerations Summary 4 4 6 7 9 12 17 18 2. Data. 19 What Is Data? Key Features of Data Rows and Columns Data Types How Is Data Created? Where Is Data Created? Should You Trust Your Data? Data as a Resource Files Databases, Data Servers, and Lakes Application Programming Interfaces Data Security and Ethics 20 20 22 24 28 29 34 35 36 39 41 43 iii
Easy or Hard? The “Right” Data Structure The Shape of Data Cleaning Data The “Right” Data Requirement Gathering Use of the Data Summary 44 44 51 53 56 61 65 Part II. The Elements of Data Visualization 3. Visualizing Data. 69 Tables How to Read Tables How to Optimize Tables When You Might Not Use Tables Bar Charts How to Read Bar Charts How to Optimize Bar Charts When You Might Not Want to Use Bar Charts Line Charts How to Read Line Charts How to Optimize Line Charts When You Might Not Use Line Charts Summary 72 72 76 78 79 79 85 93 94 94 98 103 107 4. Visualizing Data Differently. 109 Chart Types: Scatterplots How to Read Scatterplots How to Optimize Scatterplots When to Avoid Scatterplots Chart Types: Maps How to Read Maps How to Optimize Maps When to Avoid Maps Chart Types: Part-to-Whole How to Read Part-to-Whole Charts When to Use Part-to-Whole Charts When to Avoid Part-to-Whole Charts Summary iv I Table of Contents 109 110 123 127 131 131 134 141 144 145 150 153 156
5. Visual Elements. . 159 160 160 166 168 172 174 175 179 183 184 187 190 190 193 194 Color Types of Color Palettes Choosing the “Right” Color Avoiding Unnecessary Use of Color: Double Encoding Size and Shape Themed Charts Size and Shape Challenges Multiple Axes Reference Lines/Bands Reference Lines Reference Bands Totals/Summaries Totals in Tables Totals in Charts Summary 6. Visual Context. . 195 196 196 199 201 201 202 203 205 208 208 210 212 213 213 214 216 217 218 220 220 223 225 Titles Main Title Subtitles, Standfasts, and Chart Titles Text and Annotations Annotations Text Boxes Text Formatting Contextual Numbers Legends Shape Legends Color Legends Size Legends Iconography and Visual Cues Thematic Iconography Audience Guidance Background and Positioning The Z Pattern Whitespace Interactivity Tooltips Interactions Summary Table of Contents | v
7. The Medium for the Message: Complex and Interactive Data Communication. 227 Explanatory Communications Gathering Requirements Updating Data in Explanatory Views So What? Exploratory Communications Gathering Requirements Flexibility and Flow Methods: Dashboards Monitoring Conditions Facilitating Understanding Methods: Infographics Methods: Slide Presentations Methods: Notes and Emails Summary Part III. 227 228 229 229 230 231 231 234 234 235 238 240 242 243 Deploying Data Communication in the Workplace 8. Implementation Strategies for Your Workplace. 247 Tables Versus Pretty Pictures Data Culture Data Literacy Improving the Visualization Mix Static Versus Interactive Let’s Talk About PowerPoint More Than Just PowerPoint Interactive User Experience Centralized Versus Decentralized Data Teams The Data Team Data Sources Reporting Pooling Data Expertise Self-Service Live Versus Extracted Data Live Data Extracted Data Sets Standardization Versus Innovation Importance of Standardization Importance of Innovation Reporting Versus Analytics Reporting: Mass Production vi I Table of Contents 252 253 256 257 261 262 263 265 268 268 269 270 272 273 274 274 276 278 278 280 281 281
283 285 286 Analytics: Flexibility but Uncertainty Finding the “Perfect” Balance Summary 9. Tailoring Your Work to Specific Departments. 287 The Executive Team Finance Human Resources Operations Marketing Sales Information Technology Summary 288 292 294 296 299 301 304 306 10. Next Steps. 309 Step 1: Get Inspired Step 2: Practice Step 3: Keep Reading 309 310 310 Index. 313 Table of Contents | vii |
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| title | Communicating with Data making your case with data |
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| title_full | Communicating with Data making your case with data Carl Allchin |
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| title_short | Communicating with Data |
| title_sort | communicating with data making your case with data |
| title_sub | making your case with data |
| topic | bicssc / Information visualization bicssc / Management & management techniques bicssc / Machine learning bisacsh / COMPUTERS / Data Science / Data Visualization bisacsh / BUSINESS & ECONOMICS / Skills bisacsh / COMPUTERS / Data Science / Machine Learning Communication in management Organizational change Visualisierung (DE-588)4188417-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
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